Which of the following statements is FALSE?O When combining forecasts using the OLS method, it is possible for some weights to be negative.O When combining forecasts, equal weights are assigned to the forecasts from different models when the forecast error variance of these models are equal to each other, and the correlationamong the models is equal to one.O When combining forecasts, the combined forecast error variance will be at most as large as the forecast error variance of the most accurate of the forecasts that are being combined.O None of the presented possible answers are correct.O When combining forecasts, inversely proportional to forecast error variance weights are assigned to the forecasts from different models when the correlation among the models is equal tozero.

Which of the following is false? When combining forecasts using the OLS method, it is possible for…

Answered: Which of the following statements is…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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6.In simple linear regression, the sample correlation coefficient between the input variable and the output variable, and the estimated slope parameter : a.Must have the same sign (negative, zero, or positive) b.May have opposite signs c.Must have opposite signs d.Neither of the above
4. The following regression is fitted using variables identified that could be related to tuition charges ($) of a university. TUITION = a+ B ACCEPT + y MSAT + 1 VSAT Where ACCEPT = the percentage of applicants that was accepted by the university, MSAT = Median Math SAT score for the freshman class and VSAT = Median English SAT score for the freshman class. The data was processed using MNITAB and the following is an extract of the output obtained: Predictor Coef StDev T P Constant -26780 6115 -4.38 0.000 ACCEPT 116.00 37.17 * 0.003 MSAT -4.21 14.12 VSAT 70.85 15.77 -0.30 4.49 0.767 ** S = 2685 R-Sq = 69.6% Analysis of Variance R-Sq (adj) = 67.7% Source DF SS MS F P Regression 3 808139371 Residual Error 49 353193051 269379790 7208021 37.37 0.000 Total 52 1161332421 a) Write out the regression equation. b) State the dependent and independent variable(s) c) Fill in the blanks identified by ** and ****. d) Is B significant, at the 10% level of significance? e) State one limitation of using…
2.1. Give one word for the following statements or scenarios: 2.1.1. The data collected by the researcher from the Department of Education were the 2020 matric results for all South African high schools in disadvantaged areas.. 2.1.2. This analysis can be performed using either the method of moving averages, or by fitting a straight line using the method of least squares from regression analysis.
8. Which methods are appropriate for categorical data? f. K-means clustering b. Logistic regression g. Linear regression h. Naïve Bayes i. Map/Reduce a. T-test c. Association rules d. Decision Trees e. Hive j. Pig
Solve the second question in regression analysis
1. Correlation analysis is used to determine the equation of the regression line b. a specific value of the dependent variable for a given value of the independent variable the strength of the relationship between the dependent and the independent variables d. a. с. None of these alternatives is correct.
Which of the following is/are the assumptions of linear models:. The response variable is normally distributed The residuals are normally distributed All the observed units are independent from each other. The relationship between the response variable and the predictors are linear All of the above None of the above.
d and e please
Scenario: If 20 participants completed an attention task twice — once after consuming a sugar pill and once after consuming a pill that contained 25 mg nicotine, which test would be most appropriate? Assume data meets all assumptions for a parametric test, and that participant exposure to the sugar pill vs. nicotine pill were counterbalanced. Question: Which of the following best describes the research design? Descriptive Predictive Quasi-experimental Experimental

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